The Meta Prompter: Customizing with Plain Language
The Meta Prompter is Agentic Studio's conversational interface for modifying digital workers. Instead of manually editing instructions, skills, or configuration fields, you describe what you want to change in plain language. The Meta Prompter generates a plan, applies the changes to the Draft, and leaves you in control of when to publish and promote.
It is especially useful for teams working with Marketplace templates that need targeted adjustments to align with specific organizational processes.
What You Can Do with Meta Prompter
Update a digital worker's instructions and output format.
Adjust how the worker handles edge cases or ambiguous inputs.
Refine prompts, reasoning steps, and behavior to better match your operations.
How It Works
The Meta Prompter uses a simple two-step interaction: you describe a change, it proposes a plan, you confirm, and it applies the update to the Draft. The final publish and promotion steps remain under your control.
Launch the Meta Prompter chat from the digital worker's Graph view (accessible from the Home page or the Compose tab).
Type the change you want to make in plain language.
Review the plan the Meta Prompter proposes. It will outline exactly what it intends to update.
Confirm the plan. The Meta Prompter applies the changes to the Draft copy of the digital worker.
Run sanity tests to validate the change behaves as expected.
Publish a new version and promote it to Production when you are ready.
Availability and Constraints
MetaPrompter is only available for the Draft version of a digital worker in the UAT environment. It cannot be used on published versions or in Production.
Typical Use
The most common use of Meta Prompter is immediately after installing a Marketplace template. The template provides a solid foundation, but it often needs refinement for your organization's specific terminology, escalation rules, output formats, or edge case handling. Meta Prompter lets you make those refinements conversationally, without needing to understand every underlying technical detail of the digital worker's configuration
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